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From the Ehrenfest model to time-fractional stochastic processes

✍ Scribed by E.A. Abdel-Rehim


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
796 KB
Volume
233
Category
Article
ISSN
0377-0427

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✦ Synopsis


Reversible processes a b s t r a c t

The Ehrenfest model is considered as a good example of a Markov chain. I prove in this paper that the time-fractional diffusion process with drift towards the origin, is a natural generalization of the modified Ehrenfest model. The corresponding equation of evolution is a linear partial pseudo-differential equation with fractional derivatives in time, the orders lying between 0 and 1. I focus on finding a precise explicit analytical solution to this equation depending on the interval of the time. The stationary solution of this model is also analytically and numerically calculated. Then I prove that the difference between the discrete approximate solution at time t n , βˆ€n β‰₯ 0, and the stationary solution obeys a power law with exponent between 0 and 1. The reversibility property is discussed for the Ehrenfest model and its fractional version with a new observation.


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